GenAI for Sustainable Mobility Behavior Change: Building MUV's AI Driven Game Engine

Achieving sustainability objectives necessitates a transformation in passenger mobility behaviour. This paper introduces a Generative AI framework developed by the MUV platform to address the enduring attitude-behaviour gap in sustainable urban mobility. Anchored in Self-Determination Theory, the system utilises behavioural, contextual, and qualitative data to create personalised competitions that enhance intrinsic motivation. The framework features a threelayer architecture and a virtual mobility trainer to support game dynamics, while federated learning and bias audits provide ethical safeguards. The framework is set to be piloted at ISPRA, with a mixed-methods evaluation planned to assess its impact on behaviour and inclusivity. This study presents a replicable model for responsible AI-driven behavioural change in alignment with the European Green Deal.

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Published
2025-09-08
DOI
https://doi.org/10.1109/mt-its68460.2025.11223550
Primary Topic
Embodied and Extended Cognition
Type
article
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article

GenAI for Sustainable Mobility Behavior Change: Building MUV's AI Driven Game Engine

Domenico Schillaci, Salvatore Di Dio
Embodied and Extended Cognition
article

GenAI for Sustainable Mobility Behavior Change: Building MUV's AI Driven Game Engine

Domenico Schillaci, Salvatore Di Dio
article en

Abstract

Achieving sustainability objectives necessitates a transformation in passenger mobility behaviour. This paper introduces a Generative AI framework developed by the MUV platform to address the enduring attitude-behaviour gap in sustainable urban mobility. Anchored in Self-Determination Theory, the system utilises behavioural, contextual, and qualitative data to create personalised competitions that enhance intrinsic motivation. The framework features a threelayer architecture and a virtual mobility trainer to support game dynamics, while federated learning and bias audits provide ethical safeguards. The framework is set to be piloted at ISPRA, with a mixed-methods evaluation planned to assess its impact on behaviour and inclusivity. This study presents a replicable model for responsible AI-driven behavioural change in alignment with the European Green Deal.

University of Palermo (IT)
Openalex Percentile: Top 66%
Embodied and Extended Cognition
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GenAI for Sustainable Mobility Behavior Change: Building MUV's AI Driven Game Engine — Domenico Schillaci, Salvatore Di Dio · (2025) | TGRS Research Map | TGRS